Proceedings of the 2015 International Conference on Management, Education, Information and Control

Data Processing of Deception Detection Based on PCA

Authors
Zilong Chen, Dong Liu, Zhiwei Gong, Yunsheng Liu, Ruyu Li
Corresponding Author
Zilong Chen
Available Online June 2015.
DOI
https://doi.org/10.2991/meici-15.2015.130How to use a DOI?
Keywords
Data processing; Principal component analysis; Deception detection
Abstract
Based on the analysis of the difficulty in data processing parameters caused by too many parameters in traditional deception detection, it is presented in this paper to use the method of principal component analysis (PCA) to reduce the number of parameters and the dimension of variables, thus facilitating data processing. Though specific experiments, it is found that the accuracy rate is 90.5% after using PCA, which is not quite different from that obtained before using this method. Moreover, the parameters highly correlated can be well eliminated with PCA, and the redundant data among variables can also be reduced. On the basis of retaining most data, the problems in original data can be effectively solved by using fewer variables, thus fulfilling the purpose of simplifying data and facilitating the analysis of problems. For deception detection experiments with large amounts of data, this is undoubtedly a feasible approach.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Management, Education, Information and Control
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-85-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/meici-15.2015.130How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zilong Chen
AU  - Dong Liu
AU  - Zhiwei Gong
AU  - Yunsheng Liu
AU  - Ruyu Li
PY  - 2015/06
DA  - 2015/06
TI  - Data Processing of Deception Detection Based on PCA
BT  - 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.130
DO  - https://doi.org/10.2991/meici-15.2015.130
ID  - Chen2015/06
ER  -